cainsmile / GA_for_Feature_Selection
使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree
☆24Updated 6 years ago
Related projects: ⓘ
- 基于遗传算法的特征选择☆122Updated 4 years ago
- 数据预处理之缺失值处理,特征选择☆20Updated 5 years ago
- Use Genetic Algorithm and Simulate Anneal for feature selection. 用遗传算法/模拟退火算法进行特征选择.☆31Updated 4 years ago
- 常用的特征选择方法☆68Updated 2 years ago
- Oversampling method based on relative density☆9Updated 4 years ago
- feature selections and extractions☆82Updated 3 months ago
- 本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch,不仅支持常规训练、交叉验证训练,还支持贝叶斯搜索参数,并可随时自动保存训练模型和日志。☆10Updated 8 months ago
- Artificial Intelligence☆78Updated last year
- Weighted LSSVM for regression☆38Updated 5 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆39Updated 4 years ago
- 集成学习Stacking方法详解☆61Updated 4 years ago
- A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.☆53Updated 6 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆101Updated 3 years ago
- Learning and Recording☆34Updated 5 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆118Updated 3 years ago
- PSO algorithm for multi-parameters optimizaiton☆63Updated 5 years ago
- ☆24Updated this week
- 在sklearn下,几种常用的特征选择方法☆40Updated 8 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆28Updated 7 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- 数据特征工程、各种机器学 习回归模型、回归数据预处理☆33Updated 4 years ago
- ☆22Updated 5 years ago
- 使用5-6个模型(可以是knn svm 贝叶斯等等)用投票的方式做一个集成学习对MNIST数据集进行分类。☆19Updated 5 years ago
- 项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》,使用Python语言实现FCM算法及其扩展算法,包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。☆59Updated 5 years ago
- Optimizing k-means++ initialization using PSO☆15Updated 8 years ago
- Implementations of various feature selection methods☆22Updated 3 years ago
- A small project abot GA and ANN,基于TensorFlow实现基于遗传算法的神经网络结构搜索技术,在威斯康星乳腺癌细胞分类的数据集上面进行实验,并与传统的机器学习的分类算法进行对比,验证该算法的结果的优劣性。☆31Updated 4 years ago
- The python implementation of tri-triaing☆49Updated 5 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降 维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆51Updated 6 years ago
- 现有聚类算法面向高维稀疏数据多未考虑类簇可重叠和离群点的存在,导致聚类效果不理想。针对此,提出一种可重叠子空间K-Means聚类算法(An Overlapping Subspace K-Means Clustering Algorithm, OS-K-Means)。给出类簇…☆30Updated 5 years ago